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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 4744
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    references to railway stations and their services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aarrggbb
    -0.59
     ModelExpression
    -0.58
     فريبيس
    -0.53
     ivelany
    -0.53
    AndEndTag
    -0.50
     للمعارف
    -0.49
    utilisons
    -0.49
     ब्रेकडाउन
    -0.48
    RenderAtEndOf
    -0.47
    IVEREF
    -0.47
    POSITIVE LOGITS
     Amtrak
    0.62
     Train
    0.60
     train
    0.60
     Trains
    0.57
    Train
    0.52
    train
    0.51
     Railway
    0.51
    Rail
    0.50
     Rail
    0.50
    Trains
    0.50
    Activations Density 0.291%

    No Known Activations